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<a href="_c_c_s_p_a_8cs.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 ﻿using System;
<a name="l00002"></a>00002 <span class="keyword">using</span> System.Collections.Generic;
<a name="l00003"></a>00003 <span class="keyword">using</span> System.Linq;
<a name="l00004"></a>00004 <span class="keyword">using</span> System.Text;
<a name="l00005"></a>00005 
<a name="l00006"></a><a class="code" href="namespace_cluster_aggregation_1_1_cluster_aggregators.html">00006</a> <span class="keyword">namespace </span>ClusterAggregation.ClusterAggregators
<a name="l00007"></a>00007 {
<a name="l00008"></a>00008     <span class="keyword">using</span> Datum;
<a name="l00009"></a>00009     <span class="keyword">using</span> DataSets;
<a name="l00010"></a>00010     <span class="keyword">using</span> Clusterers;
<a name="l00011"></a>00011 
<a name="l00016"></a><a class="code" href="class_cluster_aggregation_1_1_cluster_aggregators_1_1_c_c_s_p_a.html">00016</a>     <span class="keyword">public</span> <span class="keyword">class </span><a class="code" href="class_cluster_aggregation_1_1_cluster_aggregators_1_1_c_c_s_p_a.html">CCSPA</a>:<a class="code" href="interface_cluster_aggregation_1_1_cluster_aggregators_1_1_i_consensus.html">IConsensus</a>
<a name="l00017"></a>00017     {
<a name="l00019"></a>00019         <span class="keyword">private</span> <a class="code" href="interface_cluster_aggregation_1_1_clusterers_1_1_i_clusterer.html">IClusterer</a> m_clusterer;
<a name="l00020"></a>00020         
<a name="l00025"></a><a class="code" href="class_cluster_aggregation_1_1_cluster_aggregators_1_1_c_c_s_p_a.html#aaf224d73ab88f5595934460beb5e8c8d">00025</a>         <span class="keyword">public</span> <a class="code" href="class_cluster_aggregation_1_1_cluster_aggregators_1_1_c_c_s_p_a.html">CCSPA</a>(<a class="code" href="interface_cluster_aggregation_1_1_clusterers_1_1_i_clusterer.html">IClusterer</a> clstrr = null)
<a name="l00026"></a>00026         {
<a name="l00027"></a>00027             m_clusterer = clstrr;
<a name="l00028"></a>00028             <span class="keywordflow">if</span> (clstrr == null)
<a name="l00029"></a>00029                 m_clusterer = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_clusterers_1_1_c_spectral_clusterer.html">CSpectralClusterer</a>(null, 0.3, <span class="keyword">true</span>);
<a name="l00030"></a>00030         }
<a name="l00031"></a>00031 
<a name="l00032"></a><a class="code" href="class_cluster_aggregation_1_1_cluster_aggregators_1_1_c_c_s_p_a.html#a4daf160a85fbcf47861cb1bfd8f8a8f9">00032</a>         <span class="keyword">public</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> ensemble(<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>[] partitions, <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] data, <span class="keywordtype">int</span> k)
<a name="l00033"></a>00033         {
<a name="l00034"></a>00034             <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> finalPartition = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>();
<a name="l00035"></a>00035             <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> tPartition = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>();
<a name="l00036"></a>00036             <span class="keywordtype">int</span> n = data.Length;
<a name="l00037"></a>00037             <span class="keywordtype">int</span> numofclsuters = 0;
<a name="l00038"></a>00038             <span class="keywordtype">double</span>[,] clusterMatrix;
<a name="l00039"></a>00039             <span class="keywordtype">double</span>[,] distanceMatrix;
<a name="l00040"></a>00040             <span class="keywordtype">int</span> currCluster=0;
<a name="l00041"></a>00041             lock (<span class="keyword">this</span>)
<a name="l00042"></a>00042             {
<a name="l00043"></a>00043                 <span class="comment">// count objects </span>
<a name="l00044"></a>00044                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; partitions.Length; i++)
<a name="l00045"></a>00045                 {
<a name="l00046"></a>00046                     numofclsuters+=partitions[i].<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a7ea8662b7d1c6126b3e8b440ad40d0c7">_clusters</a>.Count;
<a name="l00047"></a>00047                 }
<a name="l00048"></a>00048 
<a name="l00049"></a>00049                 <span class="comment">// allocate matrix</span>
<a name="l00050"></a>00050                 clusterMatrix = <span class="keyword">new</span> <span class="keywordtype">double</span>[n, numofclsuters];
<a name="l00051"></a>00051                 distanceMatrix = <span class="keyword">new</span> <span class="keywordtype">double</span>[n,n];
<a name="l00052"></a>00052                 
<a name="l00053"></a>00053                 <span class="comment">// init cluster matrix</span>
<a name="l00054"></a>00054                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++)
<a name="l00055"></a>00055                 {
<a name="l00056"></a>00056                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; numofclsuters; j++)
<a name="l00057"></a>00057                     {
<a name="l00058"></a>00058                         clusterMatrix[i, j] = 0;
<a name="l00059"></a>00059                     }
<a name="l00060"></a>00060                 }
<a name="l00061"></a>00061 
<a name="l00062"></a>00062                 currCluster = 0;
<a name="l00063"></a>00063                 <span class="comment">// calculate cluster matrix</span>
<a name="l00064"></a>00064                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; partitions.Length; i++)
<a name="l00065"></a>00065                 {
<a name="l00066"></a>00066                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; partitions[i].<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a7ea8662b7d1c6126b3e8b440ad40d0c7">_clusters</a>.Count; j++)
<a name="l00067"></a>00067                     {
<a name="l00068"></a>00068                         <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> cl = partitions[i].<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a7ea8662b7d1c6126b3e8b440ad40d0c7">_clusters</a>[j];
<a name="l00069"></a>00069 
<a name="l00070"></a>00070                         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> l = 0; l &lt; cl.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Count; l++)
<a name="l00071"></a>00071                         {
<a name="l00072"></a>00072                             clusterMatrix[cl.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>[l].id, currCluster] = 1;
<a name="l00073"></a>00073                         }
<a name="l00074"></a>00074                         currCluster++; <span class="comment">// curr cluster is the current cluster we&#39;re working on, we&#39;re going over every cluster each time incrementing</span>
<a name="l00075"></a>00075                         <span class="comment">// outer 2 loops are just for that, currCluster is the actuall index</span>
<a name="l00076"></a>00076                     }
<a name="l00077"></a>00077                 }
<a name="l00078"></a>00078 
<a name="l00079"></a>00079                 <span class="comment">// calculate distance matrix</span>
<a name="l00080"></a>00080                 <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++)
<a name="l00081"></a>00081                 {
<a name="l00082"></a>00082                     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++)
<a name="l00083"></a>00083                     {
<a name="l00084"></a>00084                         distanceMatrix[i, j] = 0;
<a name="l00085"></a>00085                         <span class="keywordflow">for</span> (<span class="keywordtype">int</span> l = 0; l &lt; partitions.Length; l++)
<a name="l00086"></a>00086                         {
<a name="l00087"></a>00087                             <span class="comment">// row col mult</span>
<a name="l00088"></a>00088                             distanceMatrix[i, j] += clusterMatrix[i, l] * clusterMatrix[j, l]; <span class="comment">// l is the running index for the vector</span>
<a name="l00089"></a>00089                         }
<a name="l00090"></a>00090                     }
<a name="l00091"></a>00091                 }
<a name="l00092"></a>00092 
<a name="l00093"></a>00093 
<a name="l00094"></a>00094                 <span class="comment">// get distance function from matrix</span>
<a name="l00095"></a>00095                 <a class="code" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html">ISimilarity</a> tmpFunc = <span class="keyword">new</span> <a class="code" href="class_cluster_aggregation_1_1_datum_1_1_c_matrix_based_distance.html">CMatrixBasedDistance</a>(distanceMatrix);
<a name="l00096"></a>00096                 finalPartition = this.m_clusterer.cluster(data, tmpFunc, k);
<a name="l00097"></a>00097                 tPartition = this.m_clusterer.cluster(data, tmpFunc, k);
<a name="l00098"></a>00098 
<a name="l00099"></a>00099             } <span class="comment">// end of lock</span>
<a name="l00100"></a>00100             finalPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a1be9e2847752c965f383b344318065b7">name</a> = <span class="stringliteral">&quot;CSPA&quot;</span>;
<a name="l00101"></a>00101             finalPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#ab47f8f65306a645f0ce17581643115bd">ANMI</a> = finalPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#aa8487de094410cfdf6bfeec93019bc91">compareTo</a>(partitions);
<a name="l00102"></a>00102             tPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a1be9e2847752c965f383b344318065b7">name</a> = <span class="stringliteral">&quot;CSPA&quot;</span>;
<a name="l00103"></a>00103             tPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#ab47f8f65306a645f0ce17581643115bd">ANMI</a> = finalPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#aa8487de094410cfdf6bfeec93019bc91">compareTo</a>(partitions);
<a name="l00104"></a>00104 
<a name="l00105"></a>00105             <span class="keywordflow">return</span> finalPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#ab47f8f65306a645f0ce17581643115bd">ANMI</a> &gt; tPartition.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#ab47f8f65306a645f0ce17581643115bd">ANMI</a> ? finalPartition : tPartition;
<a name="l00106"></a>00106         } <span class="comment">// end of ensemble func</span>
<a name="l00107"></a>00107     }
<a name="l00108"></a>00108 }
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